Chaotic-based synchronization for secure network communications

ABSTRACT

In an embodiment, an apparatus includes a first logic to receive from a first node a synchronization portion of a message and to generate a set of state information using the synchronization portion, to synchronize the apparatus with the first node. The apparatus may further include a second logic to decrypt a data portion of the message using the set of state information to obtain a decrypted message. Other embodiments are described and claimed.

This application is a continuation of U.S. patent application Ser. No.14/315,760, filed Jun. 26, 2014, the content of which is herebyincorporated by reference.

BACKGROUND

Communication between interconnected devices is a cornerstone of themodern information age. In countless situations every day, devicescommunicate with each other to relay information. Oftentimes, theinformation is of a sensitive nature and can be secured by variousencryption technologies and sent via encrypted or trusted channels.While current mechanisms may in many cases provide sufficient levels ofsecurity, often the techniques used are complex and require use ofspecific hardware, cryptographic keys, and so forth. In addition, suchmechanisms can be subject to attack, particularly where communicationsare sent by unencrypted or untrusted channels.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating a network in accordance with someembodiments.

FIG. 2 is a block diagram of a node in accordance with an embodiment.

FIG. 3 is an illustration of a chaotic system in accordance with anembodiment.

FIG. 4 is a flow diagram of a method in accordance with an embodiment ofthe present invention.

FIG. 5 is a flow diagram of a message handling method in accordance withan embodiment of the present invention.

FIG. 6 shows simulation results for a synchronization of nodes inaccordance with an embodiment.

FIG. 7 is a block diagram of a system arrangement in accordance withanother embodiment of the present invention.

FIG. 8 is a block diagram of a processor core according to oneembodiment.

DETAILED DESCRIPTION

In various embodiments, a dynamic network of devices can perform a fullydistributed time-based synchronization. In this way, a collection ofsystems (which may include, but is not limited to computer systems,robots, sensors, or other devices, and any combination of such devices,herein referred to as “nodes”) can achieve timing synchronization in afully distributed manner, in contrast to a master/slave arrangement.Secure, encrypted messages may then be sent between nodes via open(unencrypted, untrusted) channels based on this synchronization. Inembodiments, a chaotic system may be used as the model forsynchronization.

To this end, each node implements an internal model of an oscillatorthat serves as a logical clock. The nodes exchange information about thestate of the logical clock with their immediate neighbors, which allowsthem to: identify other nodes to both share and correctly implement thesame logical clock model; and align their internal clock models andthereby converge to a common time reference.

Embodiments may encrypt or modulate messages using a state of thechaotic system to enable the messages to be communicated securelythrough open channels. In various embodiments, each node (each of whichcan include both a transmitter and receiver) synthesizes the samechaotic system, and in addition each receiver may implement an observerto recover the state of the system and achieve synchronization.

Embodiments thus provide techniques to perform chaotic communication andtime synchronization across multiple nodes. In this way, any number ofnodes can be securely synchronized in a network to enable thecommunication of sensitive information. Although the scope of thepresent invention is not limited in this regard, embodiments may be usedin Internet of Things (IoT) applications in which multiple devices maydynamically and flexibly be in communication with each other. Forpurposes of example and not limitation, dynamic networks of nodes mayinclude sensor networks, peer-to-peer wireless networks and pervasivecomputing networks, among others. One particular example is a healthsystem in which various sensors, e.g., in a body area network (BAN)collect and transmit private and sensitive information about anindividual person.

Using embodiments described herein, sensors in a BAN or other dynamicnetwork can transmit data or payload information securely to other nodesin the system, either for local consumption, or for storage and relay toan external server. In this last case, the data to be relayed outsidethe BAN may be encrypted using another type of algorithm.

As used herein, the term “payload” represents sensitive information tobe communicated securely between nodes in a network. Each nodeimplements an internal model of a chaotic system. For conciseness, thefull state of the chaotic system may be referred to simply as the stateof the particular node implementing the model. Only a portion of thestate, called the phase, is shared with other nodes for purposes ofsynchronization. The state information may also be used by nodes toencode their payloads. In certain embodiments a message packet may beformed of phase information and encoded payload information andtransmitted to one or more neighboring nodes using any givencommunication protocol. In certain cases, wireless communication mayoccur using protocols such as ZigBee™, Bluetooth™, or WiFi™ inaccordance with a given Institute of Electrical and ElectronicsEngineers (IEEE) 802.11 protocol such as according to the IEEE 802.11nspecification (published October 2009 as IEEE Std. 2009.5307322), etc.

Nodes may locally exchange phase information with other nodes (e.g.,immediate neighbors) to implement a consensus-type synchronizationalgorithm. Synchronization ensures that all the nodes have the samestate information so they can decode payloads from other nodes, eitherfor local consumption or for relay. Referring now to FIG. 1, shown is ablock diagram illustrating a network 100 having a group of nodes thatmay seek to communicate sensitive messages with each other according toa chaotic system-based synchronization, in accordance with someembodiments. In various embodiments, one or more of the nodes in a groupare in direct communication with all other nodes in the group. Invarious embodiments, one or more of the nodes are in directcommunication only with a subset of the other nodes in the group. Insome embodiments, nodes 110, 120, 130, 140 and 150 may be configured assensors in a body area network, each to perform various sensing ormonitors tasks, and for purposes of secure data communication, maycommunicate with each other by open channels. To this end, at least someof the nodes may be substantially time synchronized with the other nodesin the network. Thus although other examples are possible, someembodiments may be used to protect private, personal information in BANsand contextual information for ambient intelligence systems.

In some embodiments, each of the nodes is configured to attempt toremain in a substantial time synchronization with the other nodes byperiodically transmitting and receiving time-related information to andfrom at least a subset of the other nodes. It should be noted that timesynchronization may also be accomplished within subgroups of the nodes.

In some embodiments, each of the nodes is configured to implement,locally, a discrete logical oscillator according to a chaotic system inorder to establish a time value for that node. Various types ofoscillators may be used, including discretized oscillators implementedwith one, two, or more state variables.

Referring now to FIG. 2, shown is a block diagram of a node inaccordance with an embodiment. Understand that the portion of the nodeshown in FIG. 2 is with regard to chaos-based synchronization andreceipt and handling of messages. However understand that additionallogic and structures may be present within a given node. Furthermore,understand that while the logic shown in FIG. 2 may be applicable acrossa wide range of nodes, some or all of the nodes may be heterogeneous, inthat other logic and circuitry of the nodes may differ.

As seen in FIG. 2, node 200, referred to herein as a local node,includes a synchronization logic 220 that may be used to perform achaos-based synchronization. To this end, synchronization logic 220 isconfigured to receive a synchronization portion of an incoming message210 a, received from a neighbor node. Note that incoming message 210 amay be received via an open (unencrypted) channel and may include both asynchronization portion y_(i) and a message portion

, which may be encrypted. In an embodiment, synchronization portiony_(i) may constitute a phase of the chaotic system received from theneighbor node, thus reflecting the state of the chaotic system per theneighbor node. Using synchronization portion y_(i), synchronizationlogic 220 may generate a complete state of the chaotic system,represented here by the state variables x1, x2, and x3. Understandhowever that in a particular implementation additional or differentvariables may be output, depending on the type of chaotic system used inthe particular implementation.

Referring still to FIG. 2, the state of the chaotic system according tothe local node is provided to a linear combination logic 230 and afunction engine 240. In combination logic 230, a linear combination ofthe state of the chaotic system (y) may be generated. More specifically,this linear combination corresponds to a phase of the chaotic system perthe local node and may be provided as a synchronization portion of anoutgoing message 260 b. Note that different types of linear combinationsof the chaotic system state may be generated in differentimplementations. For example, a single variable of the state (e.g., onlyone of x1, x2, or x3) may constitute a linear combination in oneembodiment, while in another case a linear combination of 2 or 3 of thestate variables may constitute the linear combination.

As discussed, the chaotic system state is further provided to a functionengine 240, which may be configured as various hardware, software,firmware, and/or combinations thereof to perform a non-linear function(generally g (x1, x2, x3)) on a message to be encrypted, namely amessage 260 a (including message content m), using the state variablesto generate an encrypted message

. Several representative examples of a non-linear functions performedusing function engine 240 are provided below.

Still referring to FIG. 2, the state of the chaotic system is furtherprovided to an inverse function engine 250. Inverse function engine 250further receives a message portion of the incoming message 210 a,

. In various embodiments, this message portion may have been encryptedby the neighbor node. Using inverse function engine 250, this messageportion may be decrypted based on an inverted nonlinear function (whichmay be the inverse of function the function used by function engine 240,generally g⁻¹ (x1, x2, x3)). Thus function engine 250 outputs adecrypted message 210 b corresponding to the encrypted message portionof incoming message 210 a.

This decrypted message 210 b may be provided to a consuming logic 270.Although the scope of the present invention is not limited this regard,in an embodiment such consuming logic may be all or a portion of aprocessor core or other processing logic. Note that such consuming logic270 also may generate message 260 a for encryption by function engine240. Finally, as seen in FIG. 2, a resulting output message 260 b isformed of a synchronization portion y and an encrypted message portion

, and can be output, e.g., via another open channel to the same ordifferent neighboring node. Understand while shown with this particularimplementation in the embodiment of FIG. 2, many variations andalternatives are possible.

In contrast to other synchronization-based systems, there is no need forcommunication of separate synchronization messages, externalinformation, or key operations. That is, in conventional secure timesynchronization protocols for wireless secure networks, separatesynchronization messages are sent, and which utilize reference points,global positioning systems (GPSs), and static pairwise key-basedcryptographic mechanisms. In some cases, secure global synchronizationis achieved by examining every path possibly used by attackers and thenremoving any links on which misbehavior is detected. Alternately,assuming that most nodes are trustworthy, to synchronize one node anumber of synchronization packets from different neighbors may be usedto detect abnormal nodes, at the cost of high communication overhead. Inauthentication-based methods, on the other hand, receivers are assuredby authentication that the synchronization packets are from a trustedsource and not changed by adversaries during transmission. Since nodesmay be compromised by direct attack, most authentication-based timesynchronization protocols focus on secure pairwise synchronization wherea shared pairwise key is used to authenticate synchronization packets.In addition to high communication overhead, each node stores allpairwise keys of other nodes.

Embodiments may provide enhanced security against common attack modes onnetworks including Sybil attacks, message manipulation attacks andunauthorized data attacks. Embodiments may also provide validationtechniques to prevent Sybil attacks and dismiss masquerading hostileentities. Still further, mechanisms may be provided to detect fakesynchronization messages, and guard against replay attacks and delayattacks. Moreover, embodiments enhance security against unauthorizeddata access, e.g., eavesdropping, by dynamically encoding informationthat is transmitted via wireless communications. As such synchronizationmessages can be securely broadcasted in dynamic networks without addinglatency and without the need to store secret keys in advance.

In the following discussion, a generalized Lorenz system (GLS) isprovided as an example of chaotic system; understand however that inother examples, a variety of other chaotic systems can be used. Forsimplicity, a continuous-time version of the chaotic system ispresented; understand that a Euler discretization can similarly be used.The generalized Lorenz system and its chaotic behavior are shown inTable 1 and FIG. 3.

As shown in Table 1, the set of equations represent the generalizedLorenz system in its canonical form, where z1,z2 and z3 are the statevariables, λ1, λ2, λ3 and τ are parameters that satisfy −λ2>λ1>−λ3>0 andτ∈(−1,∞), respectively. By selecting different combinations of theparameters, different chaotic behaviors are obtained, such as the oneshown in FIG. 3.

TABLE 1 Generalized Lorenz System (GLS): Generalized Lorenz CanonicalForm z1 = λ1z1 − (z1 − z2)z3 z2 = λ2z2 − (z1 − z2)z3 z3 = λ3z3 + (z1 −z2)(z1 + τz2)

Embodiments may thus perform dynamic or on-the-fly encryption byleveraging characteristics of chaotic systems. Namely, such systems arehard to predict, hard to identify and seemingly random. In the case ofthe GLS, each node transmits a synchronization portion of a messageformed of a linear combination of the state. In one such embodiment thissynchronization portion or phase corresponds to a linear combination ofthe (z1-z2) variables. Note however, that a complete state of thechaotic system (z1, z2, z3) is used for purposes ofencryption/decryption. As such, only the nodes having the same chaoticsystem with the same parameters are able to synchronize and recover theoriginal messages, in contrast to chaotic synchronization schemes basedon a master-slave configuration.

In other cases a continuous-time GLS characteristic synchronizationalgorithm may be used as seen in Table 2. In Table 2, the variable e iserror between the local phase and average of its neighbor's phase, λ1,λ2, λ3, and τ are the system's parameters, η1, η2, η3 and z1, z2, z3 arethe states of the oscillator, in the observer form and in the canonicalform, respectively. l1, l2 and ρ are the synchronization gains to bedesigned, where the latter can be increased for a fastersynchronization. The variable η1=z1−z2 is the variable that isbroadcasted.

TABLE 2   Synchronization Algorithm for the GLS in Continuous-TimeSynchronization Algorithm for the GLS in Continuous-time Let η_(1,i) bethe variable η₁ of the i-th neighbor of a node having n neighbors  $e = {\frac{\eta_{1} + {\sum\limits_{i = 1}^{n}\;\eta_{1,i}}}{n + 1} - \eta_{1}}$ {dot over (η)}₁ = (λ₁ + λ₂)η₁ + η₂ + ρl₁|e|^(1/2) sign(e)  ${\overset{.}{\eta}}_{2} = {{{- \lambda_{1}}\lambda_{2}\eta_{1}} - {\left( {\lambda_{1} - \lambda_{2}} \right)\eta_{1}\eta_{3}} - \frac{\left( {\tau + 1} \right)\eta_{1}^{3}}{2} + {\rho^{2}l_{2}{{sign}(e)}}}$ {dot over (η)}₃ = λ₃η₃ + K₁(τ)η₁ ²  ${K_{1}(\tau)} = \frac{{\lambda_{3}\left( {\tau + 1} \right)} - {2\;\tau\;\lambda_{1}} - {2\;\lambda_{2}}}{2\left( {\lambda_{1} - \lambda_{2}} \right)}$  ${z_{1} = \frac{{\lambda_{1}\eta_{1}} + \eta_{2}}{\lambda_{1} - \lambda_{2}}},{z_{2} = \frac{{\lambda_{2}\eta_{1}} + \eta_{2}}{\lambda_{1} - \lambda_{2}}},{z_{3} = \frac{\left( {\tau + 1} \right)\eta_{1}^{2}}{2\left( {\lambda_{1} - \lambda_{2}} \right)}}$

In other cases a discrete-time GLS algorithm may be used as shown inTable 3. This algorithm is obtained by using Euler discretization on thealgorithm in Table 2, that is, by using the following substitution

${\eta_{i} = \frac{\eta_{i,{new}} - n_{i}}{\tau_{s}}},\mspace{14mu}{i = 1},2,3,$where ηi, new is the updated state, ηi is the previous value of thestate, and τs is the time between updates. After each update of thealgorithm, ηi is set equal to ηi, new.

TABLE 3 Synchronization Algorithm for the GLS Discrete-timeImplementation Synchronization Algorithm for the GLS Discrete-timeImplementation Let η_(1,i) be the variable η₁ then when asynchronization message is received from the i-th neighbor the state ofthe GLS is updated as follows.  e = η_(1,i) − η₁  η_(1,new) = η₁ +((λ₁ + λ₂)η₁ + η₂ + ρl₁|e|^(1/2) sign(e))τ_(s)  $\eta_{2,{new}} = {\eta_{2} + {\begin{pmatrix}{{{- \lambda_{1}}\lambda_{2}\eta_{1}} - {\left( {\lambda_{1} - \lambda_{2}} \right)\eta_{1}\eta_{3}} -} \\{\frac{\left( {\tau + 1} \right)\eta_{1}^{3}}{2} + {\rho^{2}l_{2}{{sign}(e)}}}\end{pmatrix}\tau_{s}}}$  η_(3,new) = η₃ + (λ₃η₃ + K₁(τ)η₁ ²)τ_(s)  ${K_{1}(\tau)} = \frac{{\lambda_{3}\left( {\tau + 1} \right)} - {2\;\tau\;\lambda_{1}} - {2\;\lambda_{2}}}{2\left( {\lambda_{1} - \lambda_{2}} \right)}$

More specifically, embodiments may provide a two-step algorithm for thesecure transmission of information within a dynamic network. First, thenodes are synchronized using a representative synchronization algorithm,such as the more specific continuous-time GLS chaotic synchronizationalgorithm of Table 2 or the discrete-time GLS chaotic synchronizationalgorithm of Table 3. Understand of course that other chaotic systemscan be used. For instance, the Unified Chaotic System may be used forsecure communications, as the system is chaotic over the entire spectrumof the key system parameter. Second, messages are encrypted anddecrypted using a local node's state from its own implementation of thechaotic system. More specifically, a non-linear function may be used tocode messages, and a corresponding inverted non-linear function may beused to decode messages, using the chaotic state. The messages can berecovered because the chaotic state in all the nodes of the network atleast substantially coincides after synchronization. In some cases, anode may implement an algorithm to detect malicious neighbors, toprevent a malicious node to desynchronize the network. Also, to increasesecurity in a communication, system parameters may be changed, e.g., byswitching among different parameters according to a certain rule knownin advance. Two methods may be used, the first one is to use the networkto obtain a new parameter. That is, once the secure communication isestablished, consensus algorithms may be used to agree in a new system'sparameter along the group of nodes. The second method is to switch to anew parameter whenever a certain region in the phase space is reached,where the new parameter for each region is set a priori.

Referring now to FIG. 4, shown is a flow diagram of a method inaccordance with an embodiment of the present invention. As shown in FIG.4, method 300 may be a synchronization method implemented in adistributed manner by the various nodes of a network to perform adistributed (non-master/slave) chaotic-based synchronization of thenetwork, to enable secure communications to occur using thissynchronized chaotic system. As seen, method 300 may begin by receivinga phase of chaotic system from a neighbor node in a receiver node (block310). In an embodiment, this chaotic system phase may be provided as asynchronization portion of an incoming message and may be formed as alinear combination of the chaotic system state as determined by thesender neighbor node. In turn, the receiver node uses this receivedphase to update its chaotic oscillator according to the synchronizationalgorithm (block 320). For example, an algorithm such as discussed abovemay be used to generate a complete state of the chaotic system (e.g.,corresponding to state variables x1, x2, and x3).

Understand that the various nodes of the system may iterativelycalculate their own internal state and provide updated synchronizationinformation in the form of phase information to neighboring nodes andsimilarly, such updated phase information can be received fromneighboring nodes to enable convergence. At convergence, the state ofthe synchronization of the chaotic system is synchronized in all thenodes such that all the nodes have the have a common or substantiallycommon state (e.g., within a predetermined threshold).

Method 300 may be iteratively performed within each node to bothconverge to synchronization and to maintain a synchronized state onceconvergence is realized, as otherwise the chaotic system would fall outof synchronization. Note that in some embodiments, data communicationsmay occur without regard to whether the system is synchronized. In suchcases, following the dashed line in FIG. 4, control passes to block 350where a data communication may be encoded using a phase of the receivernode and a combined message including this synchronization portioncorresponding to the phase of the local node chaotic system state and amessage encrypted according to the state of the local node can be sent.However understand that such data communications may not be successfulif the system is not sufficiently converged.

Thus in other cases, no data communications are allowed to occur untilthe system converges (other than communication of phase or othersynchronization information to enable such convergence to happen). Thusas further illustrated in FIG. 4, in other implementations controlpasses to diamond 330 to determine whether the received phase issubstantially equal to a phase of the receiver node chaotic system. Whenthese phases are at least substantially equal, this indicatessynchronization and thus in such systems, control may pass back to block350 for performing encoded data communications between the nodes.Instead if the phases are not substantially equal, control passes toblock 340, where continued convergence efforts may occur. As an example,method 300 may again be iteratively performed (particularly steps 310and 320) to enable convergence. Although shown at this high level in theembodiment of FIG. 4, understand the scope of the present invention isnot limited in this regard.

Referring now to FIG. 5, shown is a flow diagram of a message handlingmethod in accordance with an embodiment of the present invention. Asseen, method 400 may be performed within a local or receiver node tohandle an incoming message, as well as to perform certain operations forpreparing a message for communication from the node.

Method 400 begins by receiving a message from a neighbor node (block410). Next control passes to block 420 where the message may be parsed.In an embodiment, the message may be parsed into 2 parts, namely asynchronization portion that includes phase information to be providedto chaotic system logic and a message portion that may include encryptedmessage information to be provided to decryption logic. Next at block430, a synchronization update may be performed in the chaotic systemlogic using the phase information. That is, as discussed above usingthis received phase information, a state of the chaotic system may begenerated and used for further synchronization and communicationoperations.

Specifically, control next passes to block 440 where the messageinformation of the received message may be decrypted using the chaoticsystem state. This chaotic system state may be updated chaotic systemstate (as per block 430) or in some situations (depending on computationcomplexity) a prior state of the chaotic system may be used while suchsynchronization updates are performed. Thus in some embodiments blocks430 and 440 may be performed concurrently. Next, control passes to block450 where the decrypted message may be sent to a consuming logic, e.g.,a core or other processing logic of the local node.

Understand that chaotic system state of the receiver or local node alsomay be used for performing encryption of messages to be sent from thenode. Thus as further illustrated another branch may occur in method400, where outgoing message information may be encrypted using thechaotic system state (block 460). This message information may begenerated by consuming logic within the node, and can be provided to anencryption logic to enable the message to be encrypted using the stateof the chaotic system. Control next passes to block 470 where a messagecan be sent from the node that includes updated phase information (whichmay be generated using a linear combination of the chaotic system stateof the local node) and this encrypted message. This combined message maybe communicated, e.g., via an open channel to another node, which may bethe same node neighbor node from which the above message was received(in block 410) or can be another node of the network. Although shownwith this particular illustration in FIG. 5, understand that manyvariations and alternatives are possible.

FIG. 6 shows simulation results for a synchronization of 20 nodes. Thenodes were initially unsynchronized and allowed to evolve freely duringthe first 10 units of time. Then, at time 10, the nodes were commandedto synchronize. It can be seen in FIG. 6 that the nodes quicklysynchronize (in the example shown they all coincide to the same state ofthe chaotic system and remain synchronized after around time 13). Notethat the speed of the chaotic system can be set in such a way that thedelay between the transmission and reception in the communication isnegligible. Hence, the state of the chaotic system is virtually the samewhen the message is transmitted and when it is received. Thus, each nodecan decrypt any and all messages received.

Referring now to FIG. 7, shown is a block diagram of an example nodewith which embodiments can be used. As seen, node 500 may be any type ofcommunication system, and in different embodiments may be an industrialsystem, body sensor, smartphone, or any other wireless communicator. Asshown in the block diagram of FIG. 7, system 500 may include anapplication or baseband processor 510. In general, baseband processor510 can perform various signal processing with regard to communications,as well as perform computing operations for the device. In embodimentshere, baseband processor 510 can perform chaos-based synchronizationwith other networked nodes using a synchronization logic 515, which maygenerally correspond to node 200 of FIG. 2. In turn, baseband processor510 can couple to a user interface/display 520 which can be realized, insome embodiments by a touch screen display. In addition, basebandprocessor 510 may couple to a memory system including, in the embodimentof FIG. 7, a non-volatile memory, namely a flash memory 530 and a systemmemory, namely a dynamic random access memory (DRAM) 535. As furtherseen, baseband processor 510 can further couple to a capture device 540such as an image capture device that can record video and/or stillimages.

Also included in node 500 are one or more sensors 550 that may couple tobaseband processor 510. In different implementations the sensors may bebody sensors, industrial sensors, or environmental sensors, amongothers.

To enable communications to be transmitted and received, variouscircuitry may be coupled between baseband processor 510 and an antenna590. Specifically, a radio frequency (RF) transceiver 570 and a wirelesslocal area network (WLAN) transceiver 575 may be present. In general, RFtransceiver 570 may be used to receive and transmit wireless data andcalls according to a given wireless communication protocol such as 3G or4G wireless communication protocol such as in accordance with a codedivision multiple access (CDMA), global system for mobile communication(GSM), long term evolution (LTE) or other protocol. Other wirelesscommunications such as receipt or transmission of radio signals, e.g.,AM/FM and other signals may also be provided. In addition, via WLANtransceiver 575, local wireless signals, such as according to aBluetooth™ standard, Zigbee™, or an IEEE 802.11 standard such as IEEE802.11a/b/g/n can also be realized. Although shown at this high level inthe embodiment of FIG. 7, understand the scope of the present inventionis not limited in this regard. Further understand that nodes may bedifferently configured, and may not include all components shown in FIG.7. Further understand that in an embodiment, one or more of the nodes ofa network may be heterogeneous to each other.

FIG. 8 is a block diagram of a processor core 1100 according to oneembodiment. Core 1100 may an example core of baseband processor 510 ofnode 500 of FIG. 7 or any other node, which may include an embeddedprocessor, a digital signal processor (DSP), a network processor, orother device to execute code. Although only one core 1100 is illustratedin FIG. 8, a processing element may alternatively include more than onesuch core. Core 1100 may be a single-threaded or multi-threaded core.

FIG. 8 also illustrates a memory 1170 coupled to the processor 1100,which in an embodiment may be a DRAM. Memory 1170 may include one ormore code instruction(s) 1113 to be executed by the core 1100. In core1100, an instruction enters a front end portion 1110 and is processed byone or more decoders 1120. The decoder may generate one or moremicro-operations, other instructions, or control signals, which reflectthe original code instruction. In some embodiments, code 1113 may beconfigured to perform a chaotic-based synchronization as describedherein.

Front end portion 1110 also includes a register renaming logic 1125 anda scheduling logic 1130, which generally allocate resources and schedulethe operation corresponding to the converted instruction for execution.Core 1100 further includes an execution logic 1150 having a set ofexecution units 1155 ₁-1155 _(n). Execution logic 1150 may be configuredto perform operations specified by code instructions. After completionof execution of the operations specified by the code instructions, aback end portion 1160 includes a retirement logic to retire theinstructions of code 1113. In one embodiment, core 1100 allows out oforder execution but reorders instructions in order for retirement.Understand that although not illustrated in FIG. 8, a processing elementmay include other elements on chip with core 1100. For example, aprocessing element may include a memory controller, I/O control logic,and one or more caches, as examples.

The following examples pertain to further embodiments.

In Example 1, an apparatus comprises: a first logic to receive from afirst node a synchronization portion of a message including thesynchronization portion and a data portion, and to generate a set ofstate information using the synchronization portion, to synchronize theapparatus with the first node; and a second logic to decrypt the dataportion using the set of state information to obtain a decrypted messageand to provide the decrypted message to a consuming logic of theapparatus, where the message is to be communicated from the first nodevia an open channel.

In Example 2, the apparatus of Example 1 optionally further includes:third logic to encrypt a second unencrypted message, generated by theconsuming logic, with the set of state information to generate a secondencrypted message; and a transmission logic to send a second message toa second node with a synchronization portion formed of at least aportion of the set of state information and a data portion formed of thesecond encrypted message.

In Example 3, the transmission logic or Example 1 or 2 is to send thesecond message to the second node via an open channel.

In Example 4, the third logic of Example 2 is to optionally encrypt thesecond unencrypted message via an invertible non-linear function havinga first input corresponding to the second unencrypted message and asecond input corresponding to the set of state information.

In Example 5, the synchronization portion comprises a phase of a chaoticsystem and the set of state information comprises a complete state ofthe chaotic system.

In Example 6, the phase of the chaotic system comprises a linearcombination of the complete chaotic system state.

In Example 7, the apparatus of Example 1 further optionally comprises aplurality of nodes of a network having a substantially common chaoticsystem state.

In Example 8, the first logic of Example 7 is to perform a chaos-basedsynchronization of the network to generate the set of state informationfrom the synchronization portion.

In Example 9, the chaos-based synchronization of Example 8 is to beperformed according to a generalized Lorenz system.

In Example 10, the generated set of state information is at leastsubstantially the same in the apparatus of any of the above Examples asa second set of state information used in the first node to encrypt thedata portion of the message.

In Example 11, the generated set of state information and the second setof state information of Example 10 are derived without a secret key.

In Example 12, at least one computer readable medium includesinstructions that when executed enable a system to: receive a messagefrom a sender node in a receiver node; parse the message and send asynchronization portion of the message to a chaotic system logic andsend an encrypted portion of the message to a decryption logic; update,in the chaotic system logic, synchronization of the receiver node usingthe synchronization portion, including calculation of a state of achaotic system based at least in part on the synchronization portion;and decrypt, in the decryption logic, the encrypted portion using thestate of the chaotic system.

In Example 13, the at least one computer readable medium of Example 12optionally further comprises instructions to enable the system todecrypt the encrypted portion according to an inverted non-linearfunction using the chaotic system state.

In Example 14, the at least one computer readable medium of Example 12optionally further comprises instructions to enable the system to:encrypt, in an encryption logic, data using the chaotic system state togenerate a second encrypted portion; generate, in the chaotic systemlogic, a second synchronization portion using the chaotic system state;and transmit a second message from the receiver node, the second messageincluding the second synchronization portion and the second encryptedportion.

In Example 15, the at least one computer readable medium of Example 14optionally further comprises instructions to enable the system toencrypt the second encrypted portion according to a non-linear functionusing the chaotic system state.

In Example 16, the at least one computer readable medium of Example 14optionally further comprises instructions to enable the system togenerate the second synchronization portion according to a linearcombination of at least a portion of the chaotic system state.

In Example 17, the at least one computer readable medium of Example 14optionally further comprises instructions to enable the system to sendthe second message via an open wireless channel to another node of thesystem, where the system includes the sender node and the receiver node.

In Example 18, a system comprises: a first node including a first logicto receive from a second node a synchronization portion of a firstmessage including the synchronization portion and a data portion, and togenerate a first set of state information of a chaotic system using thesynchronization portion, and a second logic to decrypt the data portionusing the first set of state information, where the first message is tobe communicated from the second node via an open channel; and the secondnode coupled to the first node, the second node including a functionengine to encrypt the data portion of the first message according to afunction and using a second set of state information of the chaoticsystem, the second set of state information at least substantiallyequivalent to the first set of state information, and a transmissionlogic to send the first message to the first node with thesynchronization portion formed of at least a portion of the second setof state information.

In Example 19, the system of Example 18 optionally comprises a wirelessnetwork of nodes including the first and second nodes.

In Example 20, the Example 19 wireless network optionally comprises abody area network, the first and second nodes comprising sensors.

In Example 21, the system of Example 18 optionally comprises a sensornetwork having a plurality of sensors including the first and secondnodes and a collection system to receive messages from the plurality ofsensors, to generate a report therefrom, to encrypt the report, and tocommunicate the report to a central system, the central system externalto the sensor network.

In Example 22, a system for synchronizing a plurality of nodescomprises: a first node including a first means for receiving from asecond node a synchronization portion of a first message including thesynchronization portion and a data portion, and for generating a firstset of state information of a chaotic system using the synchronizationportion, and a second means for decrypting the data portion using thefirst set of state information, where the first message is to becommunicated from the second node via an open channel; and the secondnode coupled to the first node, the second node including a functionmeans for encrypting the data portion of the first message according toa function and using a second set of state information of the chaoticsystem, the second set of state information at least substantiallyequivalent to the first set of state information, and a transmissionmeans for sending the first message to the first node with thesynchronization portion formed of at least a portion of the second setof state information.

In Example 23, the system of Example 22 optionally comprises a wirelessnetwork of nodes including the first and second nodes.

In Example 24, the wireless network of Example 23 optionally comprises abody area network, the first and second nodes comprising sensors.

In Example 25, the system of Example 22 optionally comprises a sensornetwork having a plurality of sensors including the first and secondnodes and a collection system to receive messages from the plurality ofsensors, to generate a report therefrom, to encrypt the report, and tocommunicate the report to a central system, the central system externalto the sensor network.

In Example 26, an apparatus comprises: means for receiving a messagefrom a sender node in a receiver node; means for parsing the messageinto a synchronization portion and an encrypted portion; means forupdating synchronization of the receiver node using the synchronizationportion, including means for calculating a state of a chaotic systembased at least in part on the synchronization portion; and decryptionmeans for decrypting the encrypted portion using the state of thechaotic system.

In Example 27, the apparatus of Example 26 optionally further comprises:means for encrypting data using the chaotic system state to generate asecond encrypted portion; means for generating a second synchronizationportion using the chaotic system state; and means for transmitting asecond message from the receiver node, the second message including thesecond synchronization portion and the second encrypted portion.

In another Example, a computer readable medium including instructions isto perform the method of any of the above Examples. Still further, inanother Example, an apparatus comprises means for performing the methodof any of the above Examples.

Understand also that various combinations of the above Examples arepossible.

Embodiments may be used in many different types of systems. For example,in one embodiment a communication device can be arranged to perform thevarious methods and techniques described herein. Of course, the scope ofthe present invention is not limited to a communication device, andinstead other embodiments can be directed to other types of apparatusfor processing instructions, or one or more machine readable mediaincluding instructions that in response to being executed on a computingdevice, cause the device to carry out one or more of the methods andtechniques described herein.

Embodiments may be implemented in code and may be stored on anon-transitory storage medium having stored thereon instructions whichcan be used to program a system to perform the instructions. The storagemedium may include, but is not limited to, any type of disk includingfloppy disks, optical disks, solid state drives (SSDs), compact diskread-only memories (CD-ROMs), compact disk rewritables (CD-RWs), andmagneto-optical disks, semiconductor devices such as read-only memories(ROMs), random access memories (RAMs) such as dynamic random accessmemories (DRAMs), static random access memories (SRAMs), erasableprogrammable read-only memories (EPROMs), flash memories, electricallyerasable programmable read-only memories (EEPROMs), magnetic or opticalcards, or any other type of media suitable for storing electronicinstructions.

While the present invention has been described with respect to a limitednumber of embodiments, those skilled in the art will appreciate numerousmodifications and variations therefrom. It is intended that the appendedclaims cover all such modifications and variations as fall within thetrue spirit and scope of this present invention.

What is claimed is:
 1. An apparatus comprising: a first node of adynamic network of nodes comprising a peer-to-peer network, the firstnode comprising: a receiver to receive a message via an open channelfrom a second node comprising a second device, the second nodecomprising a first neighbor node to the first node, the receiver toparse the message into a synchronization portion and a data portion; asynchronizer coupled to the receiver to receive the synchronizationportion of the message, the synchronization portion comprising phaseinformation of a chaotic system including the dynamic network of nodes,and to generate a set of state information using the synchronizationportion, to synchronize the apparatus with the second node; a linearcombiner coupled to the synchronizer to receive the set of stateinformation, and generate a linear combination from the set of stateinformation, the linear combination comprising the phase information ofthe chaotic system per the first node; a decrypter coupled to thereceiver to decrypt the data portion comprising a payload using the setof state information to obtain a decrypted message and to provide thedecrypted message comprising the payload to a consuming logic of theapparatus; an encrypter to encrypt a second unencrypted messagecomprising a second payload, generated by the consuming logic, with theset of state information to generate a second encrypted messagecomprising the second payload; and a transmitter coupled to theencrypter to send a second message to a third node comprising a thirddevice, the third node comprising a second neighbor node to the firstnode, the second message including a synchronization portion formed ofat least a portion of the set of state information and a data portionformed of the second encrypted message.
 2. The apparatus of claim 1,wherein the transmitter is to send the second message to the third nodevia the open channel.
 3. The apparatus of claim 1, wherein the encrypteris to encrypt the second unencrypted message via an invertiblenon-linear function having a first input corresponding to the secondunencrypted message and a second input corresponding to the set of stateinformation.
 4. The apparatus of claim 1, wherein the phase informationof the chaotic system comprises a linear combination of a complete stateof the chaotic system.
 5. The apparatus of claim 1, wherein theencrypter comprises a function engine to perform a non-linear functionon the second unencrypted message using the set of state information. 6.The apparatus of claim 5, wherein the decrypter comprises an inversefunction engine.
 7. The apparatus of claim 1, wherein the synchronizercomprises a discrete logical oscillator having a plurality of statevariables.
 8. The apparatus of claim 1, wherein the apparatus is tochange at least one system parameter, comprising to switch to at leastone different system parameter, according to a predetermined rule. 9.The apparatus of claim 1, wherein the apparatus is to switch to a newsystem parameter when a first region in a phase space is reached.
 10. Amethod comprising: receiving a message from a sending system in areceiver of a receiving system, the receiving system comprising a firstnode of a dynamic network of nodes comprising a point-to-point network,the sending system comprising a second node of the dynamic network;parsing the message and sending a synchronization portion of the messagecomprising a phase of a chaotic system to a chaotic system logic of thereceiving system and sending an encrypted portion of the message to adecrypter of the receiving system; updating, in the chaotic systemlogic, synchronization of the receiving system using the synchronizationportion, including calculating a state of the chaotic system based atleast in part on the synchronization portion; decrypting, in thedecrypter, the encrypted portion using the state of the chaotic systemto recover a payload of the message and providing the payload to a coreof the receiving system; encrypting, in an encrypter of the receivingsystem, data comprising a second payload using the chaotic system stateto generate a second encrypted portion; generating, in the chaoticsystem logic, a second synchronization portion using the chaotic systemstate; and transmitting a second message from the receiving system toanother system of the dynamic network, the second message including thesecond synchronization portion and the second encrypted portion.
 11. Themethod of claim 10, further comprising decrypting the encrypted portionaccording to an inverted non-linear function using the chaotic systemstate.
 12. The method of claim 10, further comprising sending the secondmessage via an open wireless channel to the another system.
 13. A systemcomprising: a first node including a processor core and a receiver toreceive from a second node via an open channel a first message includinga synchronization portion comprising a phase of a chaotic system and adata portion comprising a payload, a synchronization circuit to generatea first set of state information comprising a state of the chaoticsystem using the synchronization portion, and an inverse function engineto decrypt the data portion using the first set of state information andprovide the payload to the processor core; and the second node coupledto the first node, the second node including a function engine toencrypt the data portion of the first message with a second set of stateinformation comprising the state of the chaotic system according to afunction, the second set of state information at least substantiallycoincident with the first set of state information, and a transmitter tosend the first message to the first node with the synchronizationportion formed of at least a portion of the second set of stateinformation.
 14. The system of claim 13, wherein the system comprises adynamic sensor network having a plurality of sensors including the firstand second nodes and a collection system to receive messages from theplurality of sensors, to generate a report therefrom, to encrypt thereport, and to communicate the report to a central system, the centralsystem external to the dynamic sensor network.
 15. The system of claim14, wherein the dynamic sensor network comprises a body area network.16. The system of claim 13, wherein the system comprises a distributedsynchronized chaotic system.
 17. The apparatus of claim 1, wherein thepeer-to-peer network comprises a wireless network.
 18. The apparatus ofclaim 1, wherein the neighbor node comprises an immediate neighbor node.